A solo legal practitioner was spending 3–4 hours daily manually drafting notices, cross-checking citations, and following up with clients over WhatsApp. Case files were scattered across email, WhatsApp, and physical folders.

Deployed Mr.Lawyer — our legal AI assistant — to automate notice drafting with verified citations, enable WhatsApp-based client communication, and centralise case management in a single dashboard.

A busy outpatient clinic was losing 20–30% of appointments to no-shows, with staff spending significant time on manual appointment reminders and rescheduling calls. Patients preferred WhatsApp but the clinic had no structured channel.

Deployed ClinicAssist to handle appointment booking via WhatsApp, send automated multilingual reminders (Tamil & English), re-engage no-show patients, and route medical escalations to the doctor on duty.

A mid-size manufacturer had production and inventory data spread across three legacy systems with no unified reporting. Monthly reports took 2–3 days to compile manually, and decisions were made on data that was weeks old.

Built an ELT pipeline using dbt and Airflow to consolidate data from all three systems into a Snowflake warehouse, with automated daily refreshes and a Power BI dashboard for operations and management.